docs: def _extract_player_stats(self, table, player_dict, home_or_away):
          """
          Combine all player stats into a single object.
  
          Since each player generally has a couple of rows worth of stats (one
          for basic stats and another for advanced stats) on the boxscore page,
          both rows should be combined into a single string object to easily
          query all fields from a single object instead of determining which row
          to pull metrics from.
  
          Parameters
          ----------
          table : PyQuery object
              A PyQuery object of a single boxscore table, such as the home
              team's advanced stats or the away team's basic stats.
          player_dict : dictionary
              A dictionary where each key is a string of the player's ID and each
              value is a dictionary where the values contain the player's name,
              HTML data, and a string constant indicating which team the player
              is a member of.
          home_or_away : string constant
              A string constant indicating whether the player plays for the home
              or away team.
  
          Returns
          -------
          dictionary
              Returns a ``dictionary`` where each key is a string of the player's
              ID and each value is a dictionary where the values contain the
              player's name, HTML data, and a string constant indicating which
              team the player is a member of.
          """
          for row in table('tbody tr').items():
              player_id = self._find_player_id(row)
              # Occurs when a header row is identified instead of a player.
              if not player_id:
                  continue
              name = self._find_player_name(row)
              try:
                  player_dict[player_id]['data'] += str(row).strip()
              except KeyError:
                  player_dict[player_id] = {
                      'name': name,
                      'data': str(row).strip(),
                      'team': home_or_away
                  }
          return player_dict